AI Intern — Perceptual Color Processing & Gamut Mapping

InterDigital, Inc.; Rennes; Presencial; EUR 13.000 - 20.000; Jornada completa

Descripción de la vacante

InterDigital, Inc. in Rennes, France invites a master’s student in CS/EE to join the Video Production Services internship focusing on perceptual color processing for HDR displays. You will review current research, explore human-vision metrics in color pipelines, and design prototype optimization methods using neural networks.

The role emphasizes Python/C++ coding, PyTorch/TensorFlow experiments, and rigorous evaluation of results, with guidance from the team throughout the six-month project.

Formación

• Currently pursuing a master’s degree in computer science, electrical engineering, applied mathematics, or a related field.
• Skills in Python and C/C++.
• Experience with a deep-learning framework such as PyTorch or TensorFlow, including the training and evaluation of convolutional neural networks.
• Knowledge of image processing, display technologies such as OLED or local-dimming LCD, or perceptual image quality is a plus.
• Fluent English; autonomous, curious, and rigorous approach to research and experimentation.

Responsabilidades

• Review and synthesize current research on perceptually aware color gamut mapping.
• Identify promising directions for integrating human-vision metrics into color-processing pipelines.
• Design and implement optimization methods, including neural-network-based approaches
• Evaluate experimental results and iteratively refine the proposed methods.

Conocimientos

Python

C/C++

Fluent English

Educación

Master's degree in CS/EE/Applied mathematics

Herramientas

PyTorch

TensorFlow

Descripción del empleo

InterDigital, Inc. in Rennes, France invites a master’s student in CS/EE to join the Video Production Services internship focusing on perceptual color processing for HDR displays. You will review current research, explore human-vision metrics in color pipelines, and design prototype optimization methods using neural networks.

The role emphasizes Python/C++ coding, PyTorch/TensorFlow experiments, and rigorous evaluation of results, with guidance from the team throughout the six-month project.